Sheikh Rabiul Islam

According to our database, Sheikh Rabiul Islam authored at least 35 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Explainable Machine Learning Model to Accurately Predict Protein-Binding Peptides.

Sayed Mehedi Azim, Aravind Balasubramanyam, Sheikh Rabiul Islam, Jinglin Fu, Iman Dehzangi

Algorithms, September, 2024

Preface.

Ingrid Russell, Sheikh Rabiul Islam, William Eberle, Douglas A. Talbert, Md Golam Moula Mehedi Hasan

Int. J. Artif. Intell. Tools, May, 2024

Advances in Explainable, Fair, and Trustworthy AI.

Sheikh Rabiul Islam, Ingrid Russell, William Eberle, Douglas A. Talbert, Md Golam Moula Mehedi Hasan

Int. J. Artif. Intell. Tools, May, 2024

Predictive Policing: A Fairness-aware Approach.

Ava Downey, Sheikh Rabiul Islam, Md Kamruzzman Sarker

Int. J. Artif. Intell. Tools, May, 2024

Multi-modal Machine Learning Model for Interpretable Malware Classification.

Fahmida Tasnim Lisa, Sheikh Rabiul Islam, Neha Mohan Kumar

Proceedings of the Explainable Artificial Intelligence, 2024

Explainable Deep Learning Models for Dynamic and Online Malware Classification.

Quincy Card, Daniel Simpson, Kshitiz Aryal, Maanak Gupta, Sheikh Rabiul Islam

Proceedings of the IEEE International Conference on Smart Computing, 2024

Knowledge-infused and Explainable Malware Forensics.

Neha Mohan Kumar, Sheikh Rabiul Islam

Proceedings of the Thirty-Seventh International Florida Artificial Intelligence Research Society Conference, 2024

Severe Weather Forecasting via the Sole Use of Satellite Data.

Brianna D'Urso, Sheikh Rabiul Islam, Md. Kamruzzaman Sarker, Ingrid Russell

Proceedings of the Thirty-Seventh International Florida Artificial Intelligence Research Society Conference, 2024

Multimodal and Explainable Android Adware Classification Techniques.

Momoreoluwa Ayinde, Sheikh Rabiul Islam, Iman Dehzangi, Fahmida Tasnim Lisa

Proceedings of the Thirty-Seventh International Florida Artificial Intelligence Research Society Conference, 2024

2023

Ad-Hoc Monitoring of COVID-19 Global Research Trends for Well-Informed Policy Making.

Souvika Sarkar, Biddut Sarker Bijoy, Syeda Jannatus Saba, Dongji Feng, Yash Mahajan, Mohammad Ruhul Amin, Sheikh Rabiul Islam, Shubhra Kanti Karmaker Santu

ACM Trans. Intell. Syst. Technol., April, 2023

Incorporating the Concept of Bias and Fairness in Cybersecurity Curricular Module.

Sheikh Rabiul Islam, Ingrid Russell, Maanak Gupta

Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 2, 2023

Evaluating Fairness in Predictive Policing Using Domain Knowledge.

Ava Downey, Sheikh Rabiul Islam, Md. Kamruzzaman Sarker

Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023

Vision Transformers for Galaxy Morphology Classification: Fine-Tuning Pre-trained Networks vs. Training from Scratch.

Rahul Kumar, Md. Kamruzzaman Sarker, Sheikh Rabiul Islam

Proceedings of the Deep Learning Theory and Applications - 4th International Conference, 2023

Aiming to Minimize Alcohol-Impaired Road Fatalities: Utilizing Fairness-Aware and Domain Knowledge-Infused Artificial Intelligence.

Tejas Venkateswaran, Sheikh Rabiul Islam, Md Golam Moula Mehedi Hasan, Mohiuddin Ahmed

Proceedings of the IEEE International Conference on Big Data, 2023

Predicting Potential School Shooters from Social Media Posts.

Alana Cedeno, Rachel Liang, Sheikh Rabiul Islam

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Incorporating the Concepts of Fairness and Bias into an Undergraduate Computer Science Course to Promote Fair Automated Decision Systems.

Sheikh Rabiul Islam, Ingrid Russell, William Eberle, Darina Dicheva

Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

Data-Driven Estimation of Effectiveness of COVID-19 Non-pharmaceutical Intervention Policies.

Yash Mahajan, Sheikh Rabiul Islam, Mohammad Ruhul Amin, Shubhra Kanti Karmaker Santu

Proceedings of the IEEE International Conference on Big Data, 2022

Advancing Fairness in Public Funding Using Domain Knowledge.

Thomas Goolsby, Sheikh Rabiul Islam, Ingrid Russell

Proceedings of the Symposium How Fair is Fair? Achieving Wellbeing AI co-located with Association for the Advancement of Artificial Intelligence 2022 Spring Symposium (AAAI-Spring Symposium 2022), 2022

2021

FAIXID: A Framework for Enhancing AI Explainability of Intrusion Detection Results Using Data Cleaning Techniques.

Hong Liu, Chen Zhong, Awny Alnusair, Sheikh Rabiul Islam

J. Netw. Syst. Manag., 2021

Exploring the Scope and Potential of Local Newspaper-based Dengue Surveillance in Bangladesh.

Nazia Tasnim, Md. Istiak Hossain Shihab, Moqsadur Rahman, Sheikh Rabiul Islam, Mohammad Ruhul Amin

CoRR, 2021

Explainable Artificial Intelligence Approaches: A Survey.

Sheikh Rabiul Islam, William Eberle, Sheikh Khaled Ghafoor, Mohiuddin Ahmed

CoRR, 2021

A Supervised Rare Anomaly Detection Technique via Cooperative Co-evolution-Based Feature Selection Using Benchmark UNSW_NB15 Dataset.

A. N. M. Bazlur Rashid, Mohiuddin Ahmed, Sheikh Rabiul Islam

Proceedings of the Ubiquitous Security - First International Conference, 2021

COVID19α: Interactive Spatio-Temporal Visualization of COVID-19 Symptoms through Tweet Analysis.

Biddut Sarker Bijoy, Syeda Jannatus Saba, Souvika Sarkar, Md. Saiful Islam, Sheikh Rabiul Islam, Mohammad Ruhul Amin, Shubhra Kanti Karmaker Santu

Proceedings of the IUI '21: 26th International Conference on Intelligent User Interfaces, 2021

Observing the Unobserved: A Newspaper Based Dengue Surveillance System for the Low-Income Regions of Bangladesh.

Nazia Tasnim, Md. Istiak Hossain Shihab, Moqsadur Rahman, Jillur Rahman Saurav, Sheikh Rabiul Islam, Mohammad Ruhul Amin

Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

Implications of Combining Domain Knowledge in Explainable Artificial Intelligence.

Sheikh Rabiul Islam, William Eberle

Proceedings of the AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021), 2021

2020

Towards Quantification of Explainability in Explainable Artificial Intelligence Methods.

Sheikh Rabiul Islam, William Eberle, Sheikh K. Ghafoor

Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020

Domain Knowledge Aided Explainable Artificial Intelligence for Intrusion Detection and Response.

Sheikh Rabiul Islam, William Eberle, Sheikh K. Ghafoor, Ambareen Siraj, Mike Rogers

Proceedings of the AAAI 2020 Spring Symposium on Combining Machine Learning and Knowledge Engineering in Practice, 2020

2019

Investigating bankruptcy prediction models in the presence of extreme class imbalance and multiple stages of economy.

Sheikh Rabiul Islam, William Eberle, Sheikh K. Ghafoor, Sid C. Bundy, Douglas A. Talbert, Ambareen Siraj

CoRR, 2019

Infusing domain knowledge in AI-based "black box" models for better explainability with application in bankruptcy prediction.

Sheikh Rabiul Islam, William Eberle, Sid C. Bundy, Sheikh Khaled Ghafoor

CoRR, 2019

Automated Ransomware Behavior Analysis: Pattern Extraction and Early Detection.

Qian (Guenevere) Chen, Sheikh Rabiul Islam, Henry Haswell, Robert A. Bridges

Proceedings of the Science of Cyber Security - Second International Conference, 2019

2018

Credit Default Mining Using Combined Machine Learning and Heuristic Approach.

Sheikh Rabiul Islam, William Eberle, Sheikh Khaled Ghafoor

CoRR, 2018

A Deep Learning Based Illegal Insider-Trading Detection and Prediction Technique in Stock Market.

Sheikh Rabiul Islam

CoRR, 2018

Mining Illegal Insider Trading of Stocks: A Proactive Approach.

Sheikh Rabiul Islam, Sheikh Khaled Ghafoor, William Eberle

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

A Flexible-blocking Based Approach for Performance Tuning of Matrix Multiplication Routines for Large Matrices with Edge Cases.

Md Mosharaf Hossain, Thomas M. Hines, Sheikh K. Ghafoor, Sheikh Rabiul Islam, Ramakrishnan Kannan, Sreenivas R. Sukumar

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Mining Bad Credit Card Accounts from OLAP and OLTP.

Sheikh Rabiul Islam, William Eberle, Sheikh Khaled Ghafoor

Proceedings of the International Conference on Compute and Data Analysis, 2017